{"id":21343666,"url":"https://github.com/catalystcode/image-segmentation-using-tiramisu","last_synced_at":"2025-07-12T15:31:31.427Z","repository":{"id":55923671,"uuid":"130035555","full_name":"CatalystCode/image-segmentation-using-tiramisu","owner":"CatalystCode","description":"Image segmenation using deep learning - Tiramisu","archived":false,"fork":false,"pushed_at":"2020-12-07T02:52:43.000Z","size":7642,"stargazers_count":48,"open_issues_count":4,"forks_count":20,"subscribers_count":10,"default_branch":"master","last_synced_at":"2024-07-09T19:57:10.771Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/CatalystCode.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2018-04-18T09:09:25.000Z","updated_at":"2024-03-16T16:52:44.000Z","dependencies_parsed_at":"2022-08-15T09:31:12.876Z","dependency_job_id":null,"html_url":"https://github.com/CatalystCode/image-segmentation-using-tiramisu","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CatalystCode%2Fimage-segmentation-using-tiramisu","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CatalystCode%2Fimage-segmentation-using-tiramisu/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CatalystCode%2Fimage-segmentation-using-tiramisu/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CatalystCode%2Fimage-segmentation-using-tiramisu/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/CatalystCode","download_url":"https://codeload.github.com/CatalystCode/image-segmentation-using-tiramisu/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":225824673,"owners_count":17529906,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-22T01:14:39.597Z","updated_at":"2024-11-22T01:14:40.152Z","avatar_url":"https://github.com/CatalystCode.png","language":"Jupyter Notebook","readme":"\n# Image Segmentation\n\n## Overview\nWe recently developed a solution based on deep learning, i.e. Tiramisu, to segment the forground and remove the background in images. Our goal was to enable image retreival from a target catalogue image of a fashion retailer given a query mobile snapshot.  \n \n## Contents \nIn this repository, you'll find:\n\n- the code to reproduce the image segmetnation described in the accompanying [code story](https://www.microsoft.com/developerblog/2018/04/18/deep-learning-image-segmentation-for-ecommerce-catalogue-visual-search/)\n\n- how to train your own specific image segmentation with your own data\n\nA trained model can be found [here](https://dwrds.blob.core.windows.net/tiramisu/TiramisuSmallModel_20180225.h5).\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcatalystcode%2Fimage-segmentation-using-tiramisu","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcatalystcode%2Fimage-segmentation-using-tiramisu","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcatalystcode%2Fimage-segmentation-using-tiramisu/lists"}